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Singlebertmodel ProtBertfinetuned Smilesbindingdb
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Singlebertmodel ProtBertfinetuned Smilesbindingdb

Developed by nepp1d0
This model is a fine-tuned version based on Rostlab/prot_bert, designed for tasks involving the relationship between protein sequences and SMILES molecular representations.
Large Language Model
Transformers
#Protein sequence analysis#Molecular binding prediction#Biomedical research
Downloads 38
Release Time : 4/13/2022

Model Overview

A fine-tuned model based on the ProtBERT architecture, focusing on the prediction of binding between protein sequences and chemical molecules (SMILES).

Model Features

Protein sequence understanding
Based on the ProtBERT pre-trained model, it has strong capabilities for extracting features from protein sequences.
SMILES molecular processing
Capable of processing SMILES representations of chemical molecules.
Binding prediction
Predicts the binding properties between proteins and chemical molecules.

Model Capabilities

Protein sequence feature extraction
Chemical molecular representation processing
Protein-molecule binding prediction

Use Cases

Drug discovery
Drug target prediction
Predicts the likelihood of binding between small molecule drugs and target proteins.
Biochemical research
Protein-ligand interaction analysis
Studies the interaction properties between proteins and various chemical ligands.
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